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Confidence Intervals and Hypothesis Testing for High-Dimensional
  Regression
v1v2 (latest)

Confidence Intervals and Hypothesis Testing for High-Dimensional Regression

Journal of machine learning research (JMLR), 2013
13 June 2013
Adel Javanmard
Andrea Montanari
ArXiv (abs)PDFHTML

Papers citing "Confidence Intervals and Hypothesis Testing for High-Dimensional Regression"

50 / 300 papers shown
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
Lasso Penalization for High-Dimensional Beta Regression Models: Computation, Analysis, and Inference
Niloofar Ramezani
Martin Slawski
131
0
0
26 Jul 2025
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
Abhineet Agarwal
Michael Xiao
Rebecca L. Barter
Omer Ronen
Boyu Fan
Bin Yu
228
6
0
13 May 2025
Transfer Learning for High-dimensional Reduced Rank Time Series Models
Transfer Learning for High-dimensional Reduced Rank Time Series ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mingliang Ma Abolfazl Safikhani
AI4TS
253
0
0
22 Apr 2025
Fast Debiasing of the LASSO Estimator
Fast Debiasing of the LASSO Estimator
Shuvayan Banerjee
James Saunderson
Radhendushka Srivastava
Ajit V. Rajwade
206
1
0
27 Feb 2025
Robust Inference for High-dimensional Linear Models with Heavy-tailed
  Errors via Partial Gini Covariance
Robust Inference for High-dimensional Linear Models with Heavy-tailed Errors via Partial Gini Covariance
Yilin Zhang
Songshan Yang
Y. Wu
Lan Wang
448
0
0
19 Nov 2024
Linear Causal Bandits: Unknown Graph and Soft Interventions
Linear Causal Bandits: Unknown Graph and Soft InterventionsNeural Information Processing Systems (NeurIPS), 2024
Zirui Yan
A. Tajer
CML
286
3
0
04 Nov 2024
Statistical Inference on High Dimensional Gaussian Graphical Regression
  Models
Statistical Inference on High Dimensional Gaussian Graphical Regression Models
Xuran Meng
Jingfei Zhang
Yi Li
193
1
0
03 Nov 2024
Statistical Inference in Classification of High-dimensional Gaussian
  Mixture
Statistical Inference in Classification of High-dimensional Gaussian Mixture
Hanwen Huang
Peng Zeng
225
0
0
25 Oct 2024
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
Interval Estimation of Coefficients in Penalized Regression Models of Insurance Data
Alokesh Manna
Zijian Huang
Dipak K. Dey
Yuwen Gu
Robin He
344
3
0
01 Oct 2024
Double-Estimation-Friendly Inference for High Dimensional Misspecified
  Measurement Error Models
Double-Estimation-Friendly Inference for High Dimensional Misspecified Measurement Error Models
Shijie Cui
Xu Guo
Runze Li
Songshan Yang
Zhe Zhang
171
0
0
24 Sep 2024
Debiased high-dimensional regression calibration for errors-in-variables
  log-contrast models
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models
Huali Zhao
Tianying Wang
166
1
0
11 Sep 2024
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
Robust Non-adaptive Group Testing under Errors in Group Membership Specifications
Shuvayan Banerjee
Radhendushka Srivastava
James Saunderson
Ajit V. Rajwade
190
2
0
09 Sep 2024
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal
  Group Synchronization
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
Ziliang Samuel Zhong
Shuyang Ling
221
1
0
12 Aug 2024
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
U-learning for Prediction Inference via Combinatory Multi-Subsampling: With Applications to LASSO and Neural Networks
Zhe Fei
Yi Li
AI4CE
250
0
0
22 Jul 2024
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
Frederik Hoppe
C. M. Verdun
Hannah Laus
Felix Krahmer
Holger Rauhut
UQCV
314
2
0
18 Jul 2024
High-Dimensional Confidence Regions in Sparse MRI
High-Dimensional Confidence Regions in Sparse MRI
Frederik Hoppe
Felix Krahmer
C. M. Verdun
Marion I. Menzel
Holger Rauhut
259
6
0
18 Jul 2024
With or Without Replacement? Improving Confidence in Fourier Imaging
With or Without Replacement? Improving Confidence in Fourier Imaging
Frederik Hoppe
C. M. Verdun
Felix Krahmer
Marion I. Menzel
Holger Rauhut
267
0
0
18 Jul 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression
I. Castillo
Alice L'Huillier
Kolyan Ray
Luke Travis
258
0
0
18 Jun 2024
Task-Agnostic Machine Learning-Assisted Inference
Task-Agnostic Machine Learning-Assisted Inference
J. Miao
Qiongshi Lu
237
6
0
30 May 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits
  and Optimal Spectral Methods
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang
Marco Mondelli
254
4
0
22 May 2024
Stability of a Generalized Debiased Lasso with Applications to
  Resampling-Based Variable Selection
Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection
Jingbo Liu
246
0
0
05 May 2024
A replica analysis of under-bagging
A replica analysis of under-bagging
Takashi Takahashi
367
3
0
15 Apr 2024
Covariance Regression with High-Dimensional Predictors
Covariance Regression with High-Dimensional Predictors
Yuheng He
Changliang Zou
Yi Zhao
221
0
0
10 Apr 2024
TransFusion: Covariate-Shift Robust Transfer Learning for
  High-Dimensional Regression
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
Zelin He
Ying Sun
Jingyuan Liu
Runze Li
OOD
275
19
0
01 Apr 2024
Uniform-over-dimension convergence with application to location tests
  for high-dimensional data
Uniform-over-dimension convergence with application to location tests for high-dimensional data
Joydeep Chowdhury
S. Dutta
M. Genton
168
0
0
24 Mar 2024
Integrated path stability selection
Integrated path stability selectionJournal of the American Statistical Association (JASA), 2024
Omar Melikechi
Jeffrey W. Miller
318
3
0
23 Mar 2024
Statistical Inference For Noisy Matrix Completion Incorporating
  Auxiliary Information
Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary InformationJournal of the American Statistical Association (JASA), 2024
Shujie Ma
Po-Yao Niu
Yichong Zhang
Yinchu Zhu
250
5
0
22 Mar 2024
Triple/Debiased Lasso for Statistical Inference of Conditional Average
  Treatment Effects
Triple/Debiased Lasso for Statistical Inference of Conditional Average Treatment Effects
Masahiro Kato
CML
293
1
0
05 Mar 2024
Applied Causal Inference Powered by ML and AI
Applied Causal Inference Powered by ML and AI
Victor Chernozhukov
Christian Hansen
Nathan Kallus
Martin Spindler
Vasilis Syrgkanis
CML
336
48
0
04 Mar 2024
High-Dimensional Tail Index Regression
High-Dimensional Tail Index Regression
Yuya Sasaki
Jing Tao
Yulong Wang
235
0
0
02 Mar 2024
Debiased LASSO under Poisson-Gauss Model
Debiased LASSO under Poisson-Gauss Model
Pedro Abdalla
Gil Kur
199
0
0
26 Feb 2024
A structured regression approach for evaluating model performance across
  intersectional subgroups
A structured regression approach for evaluating model performance across intersectional subgroupsConference on Fairness, Accountability and Transparency (FAccT), 2024
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
280
6
0
26 Jan 2024
CATE Lasso: Conditional Average Treatment Effect Estimation with
  High-Dimensional Linear Regression
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression
Masahiro Kato
Masaaki Imaizumi
CML
302
2
0
25 Oct 2023
Testing High-Dimensional Mediation Effect with Arbitrary
  Exposure-Mediator Coefficients
Testing High-Dimensional Mediation Effect with Arbitrary Exposure-Mediator CoefficientsTest (Madrid) (TM), 2023
Yinan Lin
Zijian Guo
Baoluo Sun
Zhenhua Lin
215
3
0
09 Oct 2023
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation
  and Inference
Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and InferenceNeural Information Processing Systems (NeurIPS), 2023
Licong Lin
Mufang Ying
Suvrojit Ghosh
K. Khamaru
Cun-Hui Zhang
267
3
0
01 Oct 2023
Uncertainty quantification for learned ISTA
Uncertainty quantification for learned ISTAInternational Workshop on Machine Learning for Signal Processing (MLSP), 2023
Frederik Hoppe
C. M. Verdun
Felix Krahmer
Hannah Laus
Holger Rauhut
UQCV
219
4
0
14 Sep 2023
Simultaneous inference for generalized linear models with unmeasured confounders
Simultaneous inference for generalized linear models with unmeasured confounders
Jin-Hong Du
Larry Wasserman
Kathryn Roeder
452
9
0
13 Sep 2023
Anytime Model Selection in Linear Bandits
Anytime Model Selection in Linear BanditsNeural Information Processing Systems (NeurIPS), 2023
Parnian Kassraie
N. Emmenegger
Andreas Krause
Aldo Pacchiano
323
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0
24 Jul 2023
Adaptive debiased machine learning using data-driven model selection
  techniques
Adaptive debiased machine learning using data-driven model selection techniques
L. Laan
M. Carone
Alexander Luedtke
Mark van der Laan
244
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24 Jul 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear ModelsMetrika (Heidelberg) (MH), 2023
Xiaorui Zhu
Yi Qin
Peng Wang
228
0
0
14 Jul 2023
A Model-free Closeness-of-influence Test for Features in Supervised
  Learning
A Model-free Closeness-of-influence Test for Features in Supervised LearningInternational Conference on Machine Learning (ICML), 2023
M. Mehrabi
Ryan A. Rossi
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189
1
0
20 Jun 2023
Distributed Semi-Supervised Sparse Statistical Inference
Distributed Semi-Supervised Sparse Statistical InferenceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Jiyuan Tu
Weidong Liu
Xiaojun Mao
Mingyue Xu
372
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0
17 Jun 2023
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes:
  An Approximate Penalized Poisson Likelihood Approach
Semi-Parametric Inference for Doubly Stochastic Spatial Point Processes: An Approximate Penalized Poisson Likelihood Approach
Si Cheng
J. Wakefield
Ali Shojaie
228
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11 Jun 2023
Root-n consistent semiparametric learning with high-dimensional nuisance
  functions under minimal sparsity
Root-n consistent semiparametric learning with high-dimensional nuisance functions under minimal sparsity
Lin Liu
Yuhao Wang
284
1
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07 May 2023
Penalized Likelihood Inference with Survey Data
Penalized Likelihood Inference with Survey Data
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Purevdorj Tuvaandorj
184
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A review of distributed statistical inference
A review of distributed statistical inferenceStatistical Theory and Related Fields (STRF), 2021
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Weidong Liu
Hansheng Wang
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226
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Inference on Optimal Dynamic Policies via Softmax Approximation
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Morgane Austern
Vasilis Syrgkanis
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Semi-parametric inference based on adaptively collected data
Semi-parametric inference based on adaptively collected data
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K. Khamaru
Martin J. Wainwright
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Communication-Efficient Distributed Estimation and Inference for Cox's
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Jianqing Fan
Zhipeng Lou
400
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Mixed Semi-Supervised Generalized-Linear-Regression with Applications to Deep-Learning and Interpolators
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Saharon Rosset
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